Technology in general, and assistive technology in particular, is considered to be a promising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human-centered design in the development of new assistive devices will be discussed. Also theories and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementation of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
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Aim: To explore which factors are associated with psychological insulin resistance in insulin-naive patients with Type 2 diabetes in primary care.Methods: A sample of 101 insulin-naive patients with Type 2 diabetes completed self-administered questionnaires including demographic and clinical characteristics, the Insulin Treatment Appraisal Scale and the Center for Epidemiological Studies Depression scale. Psychological insulin resistance was denoted by negative appraisal of insulin (Insulin Treatment Appraisal Scale).Results: Thirty-nine per cent of the sample were unwilling to accept insulin therapy. Unwilling participants perceived taking insulin more often as a failure to control their diabetes with tablets or lifestyle compared with willing participants (59 vs. 33%), unwilling participants were more reluctant to accept the responsibilities of everyday management of insulin therapy (49 vs. 24%). Multiple linear regression analysis revealed that depression and objection to lifelong insulin therapy were independently associated with psychological insulin resistance.Conclusions: In this study in primary care, depression and objection to lifelong insulin therapy are associated with psychological insulin resistance. Analysis of the objection to the indefiniteness of insulin therapy showed a sense of limitation of daily life and loss of independence that should not be underestimated. Insulin should be offered as a means to improve health as this might facilitate the acceptance of insulin therapy.
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This study addresses the burgeoning global shortage of healthcare workers and the consequential overburdening of medical professionals, a challenge that is anticipated to intensify by 2030 [1]. It explores the adoption and perceptions of AI-powered mobile medical applications (MMAs) by physicians in the Netherlands, investigating whether doctors discuss or recommend these applications to patients and the frequency of their use in clinical practice. The research reveals a cautious but growing acceptance of MMAs among healthcare providers. Medical mobile applications, with a substantial part of IA-driven applications, are being recognized for their potential to alleviate workload. The findings suggest an emergent trust in AI-driven health technologies, underscored by recommendations from peers, yet tempered by concerns over data security and patient mental health, indicating a need for ongoing assessment and validation of these applications
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